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University of Ontario Institute of Technology

Individuals’ empathic responses to exonerees’ emotional and physical suffering

Abstract

dc:description.abstract

In exploring avenues to combat the stigma exonerees experience, a study was conducted to examine whether exposure to an exoneree’s suffering increases empathy and helping, and whether different empathic responses (e.g., emotions) result from the type of suffering witnessed. Participants were randomly assigned to three conditions: emotional suffering, physical suffering, or control. In all conditions, participants watched a video clip of an exoneree talking about his case. In the two suffering conditions, participants then read and imagined the suffering (emotional or physical) that an exoneree might experience. All participants were then asked about their emotions and helping behaviours. Suffering type did not show the same impact as has been found in previous research. Instead, imaging the exoneree’s suffering – regardless of it being emotional or physical – led to greater empathic responses. The findings are discussed in terms of Stellar et al. (2020)’s work and increasing support for exonerees.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MSc)
Discipline thesis:degree_discipline
Forensic Psychology
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Li, Jingyuan
Advisor dc:contributor.advisor
  • Clow, Kimberley

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1486
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1486

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Li, Jingyuan. Individuals’ empathic responses to exonerees’ emotional and physical suffering. University of Ontario Institute of Technology, 2022. https://hdl.handle.net/10155/1486